{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T03:24:12Z","timestamp":1781925852013,"version":"3.54.5"},"reference-count":115,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education","award":["NRF-2020R1A6A1A03038540"],"award-info":[{"award-number":["NRF-2020R1A6A1A03038540"]}]},{"DOI":"10.13039\/501100014188","name":"Korean Government through the Ministry of Science and ICT (MSIT), South Korea","doi-asserted-by":"publisher","award":["NRF-2023R1A2C1002656"],"award-info":[{"award-number":["NRF-2023R1A2C1002656"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"name":"ICT Challenge and Advanced Network of HRD Program through MSIT","award":["IITP-2025-RS-2022-00156345"],"award-info":[{"award-number":["IITP-2025-RS-2022-00156345"]}]},{"name":"Institute of Information and Communications Technology Planning and Evaluation (IITP)-Information Technology Research Center (ITRC) grant funded by Korean Government","award":["IITP-2025-RS-2024-00437494"],"award-info":[{"award-number":["IITP-2025-RS-2024-00437494"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3606016","type":"journal-article","created":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:22:51Z","timestamp":1757010171000},"page":"155835-155854","source":"Crossref","is-referenced-by-count":4,"title":["Energy-Aware MARL for Coordinated Data Collection in Multi-AUV Systems"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4635-6400","authenticated-orcid":false,"given":"Arif","family":"Wibisono","sequence":"first","affiliation":[{"name":"Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3274-4982","authenticated-orcid":false,"given":"Hyoung-Kyu","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3675-929X","authenticated-orcid":false,"given":"Byung Moo","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"issue":"4","key":"ref1","doi-asserted-by":"crossref","first-page":"1256","DOI":"10.3390\/app10041256","article-title":"Autonomous underwater vehicles: Localization, navigation, and communication for collaborative missions","volume":"10","author":"Gonz\u00e1lez-Garc\u00eda","year":"2020","journal-title":"Appl. Sci."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3319250"},{"key":"ref3","article-title":"Scaling multi agent reinforcement learning for underwater acoustic tracking via autonomous vehicles","author":"Gallici","year":"2025","journal-title":"arXiv:2505.08222"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3395568"},{"issue":"6","key":"ref5","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.3390\/jmse13061074","article-title":"Energy-optimized path planning and tracking control method for AUV based on SOC state estimation","volume":"13","author":"Yang","year":"2025","journal-title":"J. Mar. Sci. Eng."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF38699.2020.9389027"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2020.106978"},{"key":"ref8","article-title":"Differential evolution for efficient AUV path planning in time variant uncertain underwater environment","author":"Mahmoud Zadeh","year":"2016","journal-title":"arXiv:1604.02523"},{"key":"ref9","first-page":"2681","article-title":"Deep decentralized multi-task multi-agent reinforcement learning under partial observability","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Omidshafiei"},{"key":"ref10","article-title":"R-MADDPG for partially observable environments and limited communication","author":"Wang","year":"2020","journal-title":"arXiv:2002.06684"},{"issue":"21","key":"ref11","doi-asserted-by":"crossref","first-page":"8562","DOI":"10.3390\/s22218562","article-title":"A multi-AUV maritime target search method for moving and invisible objects based on multi-agent deep reinforcement learning","volume":"22","author":"Wang","year":"2022","journal-title":"Sensors"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3336055"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3412782"},{"issue":"10","key":"ref14","doi-asserted-by":"crossref","first-page":"25809","DOI":"10.3390\/s151025809","article-title":"Data gathering in delay tolerant wireless sensor networks using a ferry","volume":"15","author":"Alnuaimi","year":"2015","journal-title":"Sensors"},{"issue":"6","key":"ref15","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.3390\/rs15061501","article-title":"A traffic-aware fair MAC protocol for layered data collection oriented underwater acoustic sensor networks","volume":"15","author":"Yang","year":"2023","journal-title":"Remote Sens."},{"issue":"11","key":"ref16","doi-asserted-by":"crossref","first-page":"4948","DOI":"10.3390\/app11114948","article-title":"Multi-agent reinforcement learning: A review of challenges and applications","volume":"11","author":"Canese","year":"2021","journal-title":"Appl. Sci."},{"key":"ref17","article-title":"Adaptive AUV hunting policy with covert communication via diffusion model","author":"Guo","year":"2025","journal-title":"arXiv:2503.13547"},{"issue":"1","key":"ref18","doi-asserted-by":"crossref","first-page":"286","DOI":"10.3390\/s25010286","article-title":"Energy-efficient and trust-based autonomous underwater vehicle scheme for 6G-enabled Internet of Underwater Things","volume":"25","author":"Hussain","year":"2025","journal-title":"Sensors"},{"issue":"15","key":"ref19","doi-asserted-by":"crossref","first-page":"3321","DOI":"10.3390\/electronics12153321","article-title":"Energy-efficient multiple autonomous underwater vehicle path planning scheme in underwater sensor networks","volume":"12","author":"Cui","year":"2023","journal-title":"Electronics"},{"issue":"4","key":"ref20","doi-asserted-by":"crossref","first-page":"299","DOI":"10.3390\/drones9040299","article-title":"An adaptive navigation system for an autonomous underwater vehicle based on data transmitted via an acoustic channel from a hydroacoustic station","volume":"9","author":"Liu","year":"2025","journal-title":"Drones"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MBITS.2023.3244908"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WONS.2008.4459349"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecmx.2022.100193"},{"issue":"11","key":"ref24","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.3390\/electronics11111698","article-title":"High-reliability underwater acoustic communication using an M-ary cyclic spread spectrum","volume":"11","author":"Ra","year":"2022","journal-title":"Electronics"},{"issue":"1","key":"ref25","doi-asserted-by":"crossref","first-page":"206","DOI":"10.3390\/app14010206","article-title":"Research on underwater wireless optical communication channel model and its application","volume":"14","author":"Sun","year":"2023","journal-title":"Appl. Sci."},{"issue":"21","key":"ref26","doi-asserted-by":"crossref","first-page":"8183","DOI":"10.3390\/s22218183","article-title":"Communication system based on magnetic coils for underwater vehicles","volume":"22","author":"Canales-G\u00f3mez","year":"2022","journal-title":"Sensors"},{"key":"ref27","volume-title":"Underwater Vehicle Charging"},{"key":"ref28","article-title":"Autonomous reactive mission scheduling and task-path planning architecture for autonomous underwater vehicle","author":"Zadeh","year":"2017","journal-title":"arXiv:1706.04189"},{"issue":"10","key":"ref29","doi-asserted-by":"crossref","first-page":"119","DOI":"10.3390\/computers10100119","article-title":"A novel simulation platform for underwater data muling communications using autonomous underwater vehicles","volume":"10","author":"Teixeira","year":"2021","journal-title":"Computers"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CCTA54093.2023.10252251"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3521889"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/jmse13020221"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC61545.2025.10978605"},{"issue":"1","key":"ref34","doi-asserted-by":"crossref","first-page":"88","DOI":"10.3390\/jmse12010088","article-title":"Multi-objective path planning of autonomous underwater vehicles driven by manta ray foraging","volume":"12","author":"Huang","year":"2024","journal-title":"J. Mar. Sci. Eng."},{"key":"ref35","volume-title":"Remus and Sentry Autonomous Underwater Vehicles","year":"2023"},{"key":"ref36","volume-title":"AUVs at Mbari: Biogeochemical Sampling in the Monterey Canyon","year":"2023"},{"key":"ref37","volume-title":"Ntnu Amos\u2013Centre for Autonomous Marine Operations and Systems","year":"2023"},{"key":"ref38","volume-title":"Institut Fran\u00e7ais De Recherche Pour L\u2019Exploitation De La Mer","year":"2023"},{"key":"ref39","volume-title":"Deep-Sea AUVs: Haidou and Sea-Whale 2000","year":"2024"},{"key":"ref40","volume-title":"Development of Intelligent Autonomous Underwater Vehicles (auvs)","year":"2024"},{"key":"ref41","volume-title":"Arctic Research and Autonomous Underwater Vehicle Missions","year":"2024"},{"key":"ref42","article-title":"Introduction to reinforcement learning","author":"Ghasemi","year":"2024","journal-title":"arXiv:2408.07712"},{"key":"ref43","first-page":"22370","article-title":"Partially observable multi-agent rl with (quasi-) efficiency: The blessing of information sharing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liu"},{"key":"ref44","first-page":"709","article-title":"Dynamic programming for partially observable stochastic games","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Hansen"},{"key":"ref45","article-title":"Value-decomposition networks for cooperative multi-agent learning","author":"Sunehag","year":"2017","journal-title":"arXiv:1706.05296"},{"issue":"178","key":"ref46","first-page":"1","article-title":"Monotonic value function factorisation for deep multi-agent reinforcement learning","volume":"21","author":"Rashid","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref47","first-page":"1","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lowe"},{"key":"ref48","first-page":"24611","article-title":"The surprising effectiveness of PPO in cooperative, multi-agent games","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yu"},{"key":"ref49","article-title":"ROMA: Multi-agent reinforcement learning with emergent roles","author":"Wang","year":"2020","journal-title":"arXiv:2003.08039"},{"key":"ref50","article-title":"An introduction to centralized training for decentralized execution in cooperative multi-agent reinforcement learning","author":"Amato","year":"2024","journal-title":"arXiv:2409.03052"},{"key":"ref51","article-title":"Is centralized training with decentralized execution framework centralized enough for MARL?","author":"Zhou","year":"2023","journal-title":"arXiv:2305.17352"},{"issue":"7","key":"ref52","doi-asserted-by":"crossref","first-page":"920","DOI":"10.3390\/jmse10070920","article-title":"Formation control of multiple autonomous underwater vehicles under communication delay, packet discreteness and dropout","volume":"10","author":"Li","year":"2022","journal-title":"J. Mar. Sci. Eng."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2022.3232390"},{"issue":"2","key":"ref54","doi-asserted-by":"crossref","first-page":"74","DOI":"10.3390\/computers14020074","article-title":"Modified ant colony optimization to improve energy consumption of cruiser boundary tour with Internet of Underwater Things","volume":"14","author":"Mohammed","year":"2025","journal-title":"Computers"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3257025"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC57260.2024.10570721"},{"key":"ref57","first-page":"1","article-title":"Learning to communicate with deep multi-agent reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Foerster"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLCN59089.2024.10624787"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3081996"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/MASS52906.2021.00066"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA55743.2025.11127700"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191819"},{"key":"ref63","first-page":"1","article-title":"Dynamic weights in multi-objective deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Abels"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.386"},{"key":"ref65","first-page":"1","article-title":"Model-based multi-objective reinforcement learning with dynamic utility functions","volume-title":"Proc. Adapt. Learn. Agents Workshop (ALA) AAMAS","author":"Kallstrom"},{"key":"ref66","first-page":"2252","article-title":"Learning multiagent communication with backpropagation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Sukhbaatar"},{"key":"ref67","article-title":"Contrasting centralized and decentralized critics in multi-agent reinforcement learning","author":"Lyu","year":"2021","journal-title":"arXiv:2102.04402"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2024.119111"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/SACI51354.2021.9465602"},{"key":"ref70","first-page":"1431","article-title":"Conservative exploration in reinforcement learning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Garcelon"},{"issue":"11","key":"ref71","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.3390\/jmse10111639","article-title":"A hierarchical approach to intelligent mission planning for heterogeneous fleets of autonomous underwater vehicles","volume":"10","author":"Kenzin","year":"2022","journal-title":"J. Mar. Sci. Eng."},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2017.12.035"},{"key":"ref73","article-title":"R3DM: Enabling role discovery and diversity through dynamics models in multi-agent reinforcement learning","author":"Goel","year":"2025","journal-title":"arXiv:2505.24265"},{"issue":"17","key":"ref74","doi-asserted-by":"crossref","first-page":"7510","DOI":"10.3390\/s23177510","article-title":"AUV path planning considering ocean current disturbance based on cloud desktop technology","volume":"23","author":"Hu","year":"2023","journal-title":"Sensors"},{"issue":"14","key":"ref75","doi-asserted-by":"crossref","first-page":"5090","DOI":"10.3390\/s22145090","article-title":"Research on multi-AUVs data acquisition system of underwater acoustic communication network","volume":"22","author":"Gao","year":"2022","journal-title":"Sensors"},{"key":"ref76","volume-title":"Gym-AUV: Reinforcement Learning Environments for Autonomous Underwater Vehicles","author":"Larsen","year":"2021"},{"key":"ref77","volume-title":"Gym-AUV: A Gymnasium Environment for AUV Docking With Currents","author":"Palomeras","year":"2023"},{"key":"ref78","volume-title":"Uwsim: Underwater Simulation Stack for Ros","year":"2023"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2024.119260"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.3850\/978-981-14-8593-0_4118-cd"},{"key":"ref81","article-title":"Dealing with non-stationarity in multi-agent deep reinforcement learning","author":"Papoudakis","year":"2019","journal-title":"arXiv:1906.04737"},{"key":"ref82","article-title":"A survey of learning in multiagent environments: Dealing with non-stationarity","author":"Hernandez-Leal","year":"2017","journal-title":"arXiv:1707.09183"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10299-x"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2009.4752682"},{"issue":"11","key":"ref85","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.3390\/electronics13112030","article-title":"AUV obstacle avoidance framework based on event-triggered reinforcement learning","volume":"13","author":"Liu","year":"2024","journal-title":"Electronics"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.001.2300102"},{"key":"ref87","article-title":"Bridging the sim-to-real gap from the information bottleneck perspective","author":"He","year":"2023","journal-title":"arXiv:2305.18464"},{"key":"ref88","article-title":"Sim-to-real transfer of deep reinforcement learning agents for online coverage path planning","author":"Jonnarth","year":"2024","journal-title":"arXiv:2406.04920"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72341-4_25"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308468"},{"key":"ref91","article-title":"Understanding domain randomization for sim-to-real transfer","author":"Chen","year":"2021","journal-title":"arXiv:2110.03239"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196540"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2023.113931"},{"issue":"6","key":"ref94","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.3390\/jmse11061121","article-title":"A fault diagnosis method for the autonomous underwater vehicle via meta-self-attention multi-scale CNN","volume":"11","author":"Chen","year":"2023","journal-title":"J. Mar. Sci. Eng."},{"key":"ref95","article-title":"Adaptive fault-tolerant control of underwater vehicles with thruster failures","author":"Liu","year":"2025","journal-title":"arXiv:2504.16037"},{"issue":"10","key":"ref96","doi-asserted-by":"crossref","first-page":"1976","DOI":"10.3390\/jmse11101976","article-title":"Risk analysis of autonomous underwater vehicle operation in a polar environment based on fuzzy fault tree analysis","volume":"11","author":"Noh","year":"2023","journal-title":"J. Mar. Sci. Eng."},{"issue":"5","key":"ref97","doi-asserted-by":"crossref","first-page":"240","DOI":"10.32628\/IJSRST2411448","article-title":"Navigating trust and safety in multi-agent reinforcement learning: Attacks, defenses, and future directions","volume":"11","author":"Challa","year":"2024","journal-title":"Int. J. Sci. Res. Sci. Technol."},{"key":"ref98","article-title":"Safe multi-agent reinforcement learning via shielding","author":"Elsayed-Aly","year":"2021","journal-title":"arXiv:2101.11196"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-024-02156-6"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2025.3560830"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1561\/2200000080"},{"key":"ref102","first-page":"1","article-title":"Meta-reinforcement learning of structured exploration strategies","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gupta"},{"key":"ref103","article-title":"Learning to adapt in dynamic, real-world environments through meta-reinforcement learning","author":"Nagabandi","year":"2018","journal-title":"arXiv:1803.11347"},{"key":"ref104","first-page":"15254","article-title":"Meta-gradient reinforcement learning with an objective discovered online","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref105","article-title":"Mind the gap: Towards generalizable autonomous penetration testing via domain randomization and meta-reinforcement learning","author":"Zhou","year":"2024","journal-title":"arXiv:2412.04078"},{"issue":"23","key":"ref106","doi-asserted-by":"crossref","first-page":"4744","DOI":"10.3390\/math11234744","article-title":"Evaluating domain randomization in deep reinforcement learning locomotion tasks","volume":"11","author":"Ajani","year":"2023","journal-title":"Mathematics"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00219"},{"key":"ref108","first-page":"5872","article-title":"Fully decentralized multi-agent reinforcement learning with networked agents","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"80","author":"Zhang"},{"key":"ref109","article-title":"Dynamic graph communication for decentralised multi-agent reinforcement learning","author":"McClusky","year":"2024","journal-title":"arXiv:2501.00165"},{"key":"ref110","article-title":"Robust multi-agent communication based on decentralization-oriented adversarial training","author":"Ma","year":"2025","journal-title":"arXiv:2504.21278"},{"key":"ref111","article-title":"XiHe: A data-driven model for global ocean eddy-resolving forecasting","author":"Wang","year":"2024","journal-title":"arXiv:2402.02995"},{"key":"ref112","volume-title":"Computational Fluid Dynamics","year":"2023"},{"key":"ref113","volume-title":"Noaa Official Website","year":"2023"},{"key":"ref114","volume-title":"Jamstec Official Website","year":"2023"},{"key":"ref115","volume-title":"Copernicus Marine Service\u2013Ocean Monitoring","year":"2023"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11151265.pdf?arnumber=11151265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T17:48:21Z","timestamp":1757526501000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11151265\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":115,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3606016","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}